Clinical Manifestations and Longterm Outcome for Patients with Takayasu Arteritis in China
Bibliographic record
Abstract
OBJECTIVE: To describe a large cohort of patients with Takayasu arteritis in China. METHODS: We retrospectively analyzed 566 patients hospitalized in Fuwai Hospital between 2002 and 2013. Data collected were clinical characteristics, laboratory findings, angiographic features, treatment, and longterm outcome. RESULTS: The female to male ratio was 3.8 to 1, and the mean age of onset was 28.9 ± 12.0 years. The most common inflammatory symptom, initial symptom, and coexisting disease were fever (52, 9.2%), dizziness (214, 37.8%), and hypertension (HTN; 392, 69.3%), respectively. Pulmonary artery, coronary artery involvement, and aortic regurgitation were found in 83 (14.7%), 66 (11.7%), and 181 (36.7%) patients, respectively. Elevation of the erythrocyte sedimentation rate was observed in 131 patients (23.1%). Treatment included drugs, interventional therapy, autologous blood vessel transplant, artificial blood vessel transplant, and aortic valve replacement. During a mean followup of 5.0 ± 0.2 years, 32 patients died, including 1 patient who died suddenly during coronary angiography. HTN, major complications, and a progressive disease course were significant prognostic markers. CONCLUSION: HTN, rather than fever, is the leading reason for patients with Takayasu arteritis to see a doctor in China. HTN, major complications, and a progressive disease course are statistically significant predictors of survival. Because of cardiovascular events associated with the disease, early diagnosis and treatment are urgent to improve prognosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".